machinelearning_create_data_source_from_s3: Creates a DataSource object

In paws.machine.learning: 'Amazon Web Services' Machine Learning Services

Creates a DataSource object

Description

Creates a DataSource object. A DataSource references data that can be used to perform create_ml_model, create_evaluation, or create_batch_prediction operations.

See https://www.paws-r-sdk.com/docs/machinelearning_create_data_source_from_s3/ for full documentation.

Usage

machinelearning_create_data_source_from_s3(
  DataSourceId,
  DataSourceName = NULL,
  DataSpec,
  ComputeStatistics = NULL
)

Arguments

DataSourceId	[required] A user-supplied identifier that uniquely identifies the DataSource.
DataSourceName	A user-supplied name or description of the DataSource.
DataSpec	[required] The data specification of a DataSource: DataLocationS3 - The Amazon S3 location of the observation data. DataSchemaLocationS3 - The Amazon S3 location of the DataSchema. DataSchema - A JSON string representing the schema. This is not required if DataSchemaUri is specified. DataRearrangement - A JSON string that represents the splitting and rearrangement requirements for the Datasource. Sample - ⁠ "{\"splitting\":{\"percentBegin\":10,\"percentEnd\":60}}"⁠
ComputeStatistics	The compute statistics for a DataSource. The statistics are generated from the observation data referenced by a DataSource. Amazon ML uses the statistics internally during MLModel training. This parameter must be set to true if the DataSource needs to be used for MLModel training.

paws.machine.learning documentation built on Sept. 12, 2024, 6:23 a.m.